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Integrate.io Platform vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Integrate.io Platform
Ranking in Data Integration
38th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
3
Ranking in other categories
Data Observability (7th)
Qlik Talend Cloud
Ranking in Data Integration
6th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Integrate.io Platform is 0.5%, up from 0.1% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.4%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud2.4%
Integrate.io Platform0.5%
Other97.1%
Data Integration
 

Featured Reviews

RP
Founder at Rembrand Pardo Consulting
Streamlines daily data workflows and has improved reliability for complex business integrations
One area where Integrate.io Platform could improve is around visibility and debugging. While the logging is helpful, it can sometimes take time to trace issues across multiple steps in a pipeline, especially when flows become complex. A more streamlined way to track data through each stage or clearer error messaging would make troubleshooting faster and more intuitive. Another improvement would be flexibility in handling edge cases. For standard transformations, it works well, but when business logic gets more complex, it can feel a bit limited without introducing workarounds. Having more advanced customization options without sacrificing the ease of use would be a big plus, in my opinion. Documentation clarity around existing pipelines was also something I felt could be better supported. Since integrations tend to evolve over time, having strong built-in documentation features or easier ways to understand dependencies between jobs would have helped, especially when onboarding someone new. I only stayed with this client for six months, so we needed to bring or train their team members to do this. Revisiting flows after a while would have been nice. The last thing would be performance transparency could be improved. Jobs generally run reliably, but having clearer insights into performance, such as bottlenecks, processing time per step, or optimizing suggestions would make it easier to fine-tune workflows as data volume grows. Part of my job, and what the client in this case wanted, was to scale in the future without having to change to another tool, so that would help a lot. I would say the platform is solid, but these kinds of improvements that I mentioned would make it even more efficient to manage at scale and over time.
HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I think the platform helped them move forward towards a more streamlined, reliable, and scalable way of handling their data operations."
"Integrate.io Platform has helped simplify my data pipelines, as it is really good with Salesforce sync."
"Integrate.io Platform has positively impacted my organization by reducing a lot of our workloads because we can make this replication faster and connect it with other connectors, and it also gives us this GPU that allows us to work faster."
"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."
"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."
"We can develop our own code if we do not see the functionality we need."
"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."
"The solution is very user-friendly and easy to understand."
"It has definitely streamlined certain processes.​"
"Maybe the best thing is the product's easy start-up level when you are familiar with Java."
"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."
 

Cons

"Another improvement would be flexibility in handling edge cases. For standard transformations, it works well, but when business logic gets more complex, it can feel a bit limited without introducing workarounds."
"Customer support could be better. We often get replies that are delayed, and sometimes there is a lot of back and forth."
"I think the memory issues we faced when using the 3GB RAM compared to the 4GB RAM computers caused lot of issues."
"Processing large volumes of data sometimes consumes a lot of resources."
"The documentation from version to version could be more accurate."
"Qlik Talend Cloud could be improved with more advanced monitoring and flexible alerts, as well as better job performance visibility."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."
"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."
"First, We faced problems with stability of the products."
"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."
 

Pricing and Cost Advice

Information not available
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"I have been using the open-source version."
"The licensing cost is about 40,000 Euros a year."
"License renewal is on a yearly basis."
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Top Industries

By visitors reading reviews
Construction Company
13%
Financial Services Firm
11%
Healthcare Company
10%
Wholesaler/Distributor
10%
Financial Services Firm
15%
Comms Service Provider
9%
Computer Software Company
7%
Outsourcing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

Questions from the Community

What needs improvement with Integrate.io Platform?
I think Integrate.io Platform can be improved if there is a connector with all the cloud providers, mostly AWS or maybe GCP, to allow us to have this replication duplicated in our AWS infrastructur...
What is your primary use case for Integrate.io Platform?
My main use case for Integrate.io Platform is for database replications because it has a latency around 60 seconds. I use Integrate.io Platform mainly to integrate machine learning initiatives that...
What advice do you have for others considering Integrate.io Platform?
I would rate Integrate.io Platform a 10 out of 10. I chose this rating because I appreciate the latency and the fast replication that we have; our clients here want all the things fast, and they do...
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
What advice do you have for others considering Talend Data Quality?
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...
 

Also Known As

DRIVEN APM, Xplenty
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

Sample Customers

GAP, Samsung, REA Group, TellApart, Pintrest, Expedia, CapitalOne, Oportun, Hotels.com, HomeAway, CommonwealthBank, D&B, DeerWalk
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Integrate.io Platform vs. Qlik Talend Cloud and other solutions. Updated: June 2026.
897,190 professionals have used our research since 2012.